Hey all, Does anyone know how we can get train set and test set for each fold of 5 fold cross validation in Caret package? Imagine if I want to do cross validation by random forest method, I do the following in Caret:
set.seed(12) train_control <- trainControl(method="cv", number=5,savePredictions = TRUE) rfmodel <- train(Species~., data=iris, trControl=train_control, method="rf") first_holdout <- subset(rfmodel$pred, Resample == "Fold1") str(first_holdout) 'data.frame': 90 obs. of 5 variables: $ pred : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 $ obs : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 $ rowIndex: int 2 3 9 11 25 29 35 36 41 50 ... $ mtry : num 2 2 2 2 2 2 2 2 2 2 ... $ Resample: chr "Fold1" "Fold1" "Fold1" "Fold1" ... Are these 90 observations in Fold1 used as training set? If yes then where is the test set for this fold? thanks for any help! Elahe ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
